🧠 Dan’s AI Terminology Tracker
Daniel McLoughlin
This past weekend - in between kids’ birthday parties, cake, and chaos - I pulled together something I’ve been meaning to build for a while:
🎯 A visual, open source AI terminology tracker - designed to help make sense of the rapidly evolving language around AI, ML, Generative AI, and the Microsoft AI ecosystem.
As someone diving deep into Azure AI Foundry, I kept running into scattered definitions, mismatched documentation, and “what does that mean again?” moments. So I did what we do - I built a tool.
🗺️ What It Is
The tracker is a Markmap-powered mind map that organizes:
AI/ML learning paradigms
LLM and Generative AI concepts
MLOps and GenAIOps workflows
Data pipelines and infrastructure
Microsoft-specific tools like Azure OpenAI, Prompt Flow, AI Studio, and more
Ethics, governance, and emerging regulations like the EU AI Act
It’s designed to be clickable, skimmable, and useful whether you’re a beginner or deep in the Azure AI space.
🔗 Explore It
Live Map: ai-terms.daniel.mcloughlin.cloud
GitHub Repo (open to contributions): github.com/clouddevdan/dans-ai-terminology-tracker
💬 Got a term I’ve missed? A better link? Open a PR or raise an issue - it’s a living resource.
🚧 A Few Notes
It’s still a work in progress — expect regular updates
It leans toward the Microsoft ecosystem — by design
Built with ❤️, Markdown, Markmap, and the 30 minutes between party clean-up and bedtime
Thanks for checking it out - and if it helps clarify something along your AI learning journey, I’d love to hear about it!
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Written by
Daniel McLoughlin
Daniel McLoughlin
As a Technology Strategist, I help organisations bring clarity to complexity - connecting technology, business strategy and practical delivery. I currently work for Version 1, where I advise on how emerging technologies can be applied to create real business value - enabling organisations to adapt, innovate and scale with confidence. My background allows me to navigate both the strategic 'what' and 'why', while drawing on years of technical experience to understand enough of the 'how' to ensure strategies are grounded, practical and sustainable. In a rapidly evolving technology landscape, I focus on solving ambiguity - helping organisations make sense of emerging trends, partner ecosystems and shifting capabilities, while identifying opportunities that align with long-term business objectives. My approach is to bridge the gap between vision and execution, providing clear thinking in the midst of change and complexity.